Development and application of a supervised pattern recognition algorithm for identification of fuel-specific emissions profiles
Christos Stamatisand Kelley Claire Barsanti
Christos Stamatis
Department of Chemical and Environmental Engineering and College of Engineering – Center for Environmental Research and Technology (CE-CERT), University of California, Riverside, Riverside, CA, USA
Department of Chemical and Environmental Engineering and College of Engineering – Center for Environmental Research and Technology (CE-CERT), University of California, Riverside, Riverside, CA, USA
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Total article views: 3,161 (including HTML, PDF, and XML)
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Building on the identification of hundreds of gas-phase chemicals in smoke samples from laboratory and field studies, an algorithm was developed that successfully identified chemical patterns that were consistent among types of trees and unique between types of trees that are common fuels in western coniferous forests. The algorithm is a promising approach for selecting chemical speciation profiles for air quality modeling using a highly reduced suite of measured compounds.
Building on the identification of hundreds of gas-phase chemicals in smoke samples from...
